Dataset statistics
| Number of variables | 16 |
|---|---|
| Number of observations | 3306 |
| Missing cells | 6176 |
| Missing cells (%) | 11.7% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 413.4 KiB |
| Average record size in memory | 128.0 B |
Variable types
| Categorical | 4 |
|---|---|
| Numeric | 12 |
Country Name has a high cardinality: 174 distinct values | High cardinality |
Country Code has a high cardinality: 174 distinct values | High cardinality |
Life Expectancy World Bank is highly overall correlated with Prevelance of Undernourishment and 4 other fields | High correlation |
Prevelance of Undernourishment is highly overall correlated with Life Expectancy World Bank and 3 other fields | High correlation |
CO2 is highly overall correlated with Life Expectancy World Bank and 3 other fields | High correlation |
Sanitation is highly overall correlated with Life Expectancy World Bank and 2 other fields | High correlation |
Injuries is highly overall correlated with CO2 and 2 other fields | High correlation |
Communicable is highly overall correlated with Life Expectancy World Bank and 3 other fields | High correlation |
NonCommunicable is highly overall correlated with CO2 and 2 other fields | High correlation |
Region is highly overall correlated with IncomeGroup | High correlation |
IncomeGroup is highly overall correlated with Life Expectancy World Bank and 2 other fields | High correlation |
Life Expectancy World Bank has 188 (5.7%) missing values | Missing |
Prevelance of Undernourishment has 684 (20.7%) missing values | Missing |
CO2 has 152 (4.6%) missing values | Missing |
Health Expenditure % has 180 (5.4%) missing values | Missing |
Education Expenditure % has 1090 (33.0%) missing values | Missing |
Unemployment has 304 (9.2%) missing values | Missing |
Corruption has 2331 (70.5%) missing values | Missing |
Sanitation has 1247 (37.7%) missing values | Missing |
Country Name is uniformly distributed | Uniform |
Country Code is uniformly distributed | Uniform |
Injuries has unique values | Unique |
Communicable has unique values | Unique |
NonCommunicable has unique values | Unique |
Reproduction
| Analysis started | 2023-09-20 05:32:49.645070 |
|---|---|
| Analysis finished | 2023-09-20 05:33:39.992121 |
| Duration | 50.35 seconds |
| Software version | pandas-profiling v3.6.6 |
| Download configuration | config.json |
Country Name
Categorical
HIGH CARDINALITY UNIFORM
| Distinct | 174 |
|---|---|
| Distinct (%) | 5.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 26.0 KiB |
| Afghanistan | 19 |
|---|---|
| Nepal | 19 |
| Malawi | 19 |
| Malaysia | 19 |
| Namibia | 19 |
| Other values (169) |
Length
| Max length | 24 |
|---|---|
| Median length | 21 |
| Mean length | 8.3275862 |
| Min length | 4 |
Characters and Unicode
| Total characters | 27531 |
|---|---|
| Distinct characters | 52 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Afghanistan |
|---|---|
| 2nd row | Angola |
| 3rd row | Albania |
| 4th row | Andorra |
| 5th row | United Arab Emirates |
Common Values
| Value | Count | Frequency (%) |
| Afghanistan | 19 | 0.6% |
| Nepal | 19 | 0.6% |
| Malawi | 19 | 0.6% |
| Malaysia | 19 | 0.6% |
| Namibia | 19 | 0.6% |
| Niger | 19 | 0.6% |
| Nigeria | 19 | 0.6% |
| Nicaragua | 19 | 0.6% |
| Netherlands | 19 | 0.6% |
| Norway | 19 | 0.6% |
| Other values (164) | 3116 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| and | 76 | 1.9% |
| united | 57 | 1.4% |
| guinea | 57 | 1.4% |
| islands | 57 | 1.4% |
| south | 38 | 0.9% |
| samoa | 38 | 0.9% |
| republic | 38 | 0.9% |
| new | 38 | 0.9% |
| sudan | 38 | 0.9% |
| afghanistan | 19 | 0.5% |
| Other values (187) | 3553 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 4503 | |
| i | 2432 | 8.8% |
| n | 2242 | 8.1% |
| e | 1729 | 6.3% |
| r | 1634 | 5.9% |
| o | 1501 | 5.5% |
| u | 1140 | 4.1% |
| l | 1026 | 3.7% |
| t | 969 | 3.5% |
| d | 931 | 3.4% |
| Other values (42) | 9424 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 22838 | |
| Uppercase Letter | 3952 | 14.4% |
| Space Separator | 703 | 2.6% |
| Other Punctuation | 19 | 0.1% |
| Dash Punctuation | 19 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 4503 | |
| i | 2432 | |
| n | 2242 | |
| e | 1729 | 7.6% |
| r | 1634 | 7.2% |
| o | 1501 | 6.6% |
| u | 1140 | 5.0% |
| l | 1026 | 4.5% |
| t | 969 | 4.2% |
| d | 931 | 4.1% |
| Other values (16) | 4731 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 456 | |
| M | 380 | 9.6% |
| B | 342 | 8.7% |
| A | 304 | 7.7% |
| G | 266 | 6.7% |
| C | 266 | 6.7% |
| N | 228 | 5.8% |
| T | 209 | 5.3% |
| I | 209 | 5.3% |
| P | 209 | 5.3% |
| Other values (13) | 1083 |
Space Separator
| Value | Count | Frequency (%) |
| 703 |
Other Punctuation
| Value | Count | Frequency (%) |
| ' | 19 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 19 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 26790 | |
| Common | 741 | 2.7% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 4503 | |
| i | 2432 | 9.1% |
| n | 2242 | 8.4% |
| e | 1729 | 6.5% |
| r | 1634 | 6.1% |
| o | 1501 | 5.6% |
| u | 1140 | 4.3% |
| l | 1026 | 3.8% |
| t | 969 | 3.6% |
| d | 931 | 3.5% |
| Other values (39) | 8683 |
Common
| Value | Count | Frequency (%) |
| 703 | ||
| ' | 19 | 2.6% |
| - | 19 | 2.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 27531 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 4503 | |
| i | 2432 | 8.8% |
| n | 2242 | 8.1% |
| e | 1729 | 6.3% |
| r | 1634 | 5.9% |
| o | 1501 | 5.5% |
| u | 1140 | 4.1% |
| l | 1026 | 3.7% |
| t | 969 | 3.5% |
| d | 931 | 3.4% |
| Other values (42) | 9424 |
Country Code
Categorical
HIGH CARDINALITY UNIFORM
| Distinct | 174 |
|---|---|
| Distinct (%) | 5.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 26.0 KiB |
| AFG | 19 |
|---|---|
| NPL | 19 |
| MWI | 19 |
| MYS | 19 |
| NAM | 19 |
| Other values (169) |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 9918 |
|---|---|
| Distinct characters | 26 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | AFG |
|---|---|
| 2nd row | AGO |
| 3rd row | ALB |
| 4th row | AND |
| 5th row | ARE |
Common Values
| Value | Count | Frequency (%) |
| AFG | 19 | 0.6% |
| NPL | 19 | 0.6% |
| MWI | 19 | 0.6% |
| MYS | 19 | 0.6% |
| NAM | 19 | 0.6% |
| NER | 19 | 0.6% |
| NGA | 19 | 0.6% |
| NIC | 19 | 0.6% |
| NLD | 19 | 0.6% |
| NOR | 19 | 0.6% |
| Other values (164) | 3116 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| afg | 19 | 0.6% |
| aus | 19 | 0.6% |
| aut | 19 | 0.6% |
| alb | 19 | 0.6% |
| and | 19 | 0.6% |
| are | 19 | 0.6% |
| arg | 19 | 0.6% |
| arm | 19 | 0.6% |
| asm | 19 | 0.6% |
| atg | 19 | 0.6% |
| Other values (164) | 3116 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 779 | 7.9% |
| R | 760 | 7.7% |
| M | 741 | 7.5% |
| N | 722 | 7.3% |
| L | 570 | 5.7% |
| B | 551 | 5.6% |
| S | 551 | 5.6% |
| T | 513 | 5.2% |
| G | 494 | 5.0% |
| U | 456 | 4.6% |
| Other values (16) | 3781 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 9918 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 779 | 7.9% |
| R | 760 | 7.7% |
| M | 741 | 7.5% |
| N | 722 | 7.3% |
| L | 570 | 5.7% |
| B | 551 | 5.6% |
| S | 551 | 5.6% |
| T | 513 | 5.2% |
| G | 494 | 5.0% |
| U | 456 | 4.6% |
| Other values (16) | 3781 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 9918 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| A | 779 | 7.9% |
| R | 760 | 7.7% |
| M | 741 | 7.5% |
| N | 722 | 7.3% |
| L | 570 | 5.7% |
| B | 551 | 5.6% |
| S | 551 | 5.6% |
| T | 513 | 5.2% |
| G | 494 | 5.0% |
| U | 456 | 4.6% |
| Other values (16) | 3781 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9918 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| A | 779 | 7.9% |
| R | 760 | 7.7% |
| M | 741 | 7.5% |
| N | 722 | 7.3% |
| L | 570 | 5.7% |
| B | 551 | 5.6% |
| S | 551 | 5.6% |
| T | 513 | 5.2% |
| G | 494 | 5.0% |
| U | 456 | 4.6% |
| Other values (16) | 3781 |
Region
Categorical
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 26.0 KiB |
| Europe & Central Asia | |
|---|---|
| Sub-Saharan Africa | |
| Latin America & Caribbean | |
| East Asia & Pacific | |
| Middle East & North Africa | |
| Other values (2) |
Length
| Max length | 26 |
|---|---|
| Median length | 25 |
| Mean length | 20.413793 |
| Min length | 10 |
Characters and Unicode
| Total characters | 67488 |
|---|---|
| Distinct characters | 28 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | South Asia |
|---|---|
| 2nd row | Sub-Saharan Africa |
| 3rd row | Europe & Central Asia |
| 4th row | Europe & Central Asia |
| 5th row | Middle East & North Africa |
Common Values
| Value | Count | Frequency (%) |
| Europe & Central Asia | 893 | |
| Sub-Saharan Africa | 836 | |
| Latin America & Caribbean | 551 | |
| East Asia & Pacific | 513 | |
| Middle East & North Africa | 304 | 9.2% |
| South Asia | 152 | 4.6% |
| North America | 57 | 1.7% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 2261 | ||
| asia | 1558 | |
| africa | 1140 | |
| europe | 893 | 7.8% |
| central | 893 | 7.8% |
| sub-saharan | 836 | 7.3% |
| east | 817 | 7.1% |
| america | 608 | 5.3% |
| latin | 551 | 4.8% |
| caribbean | 551 | 4.8% |
| Other values (4) | 1330 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 9690 | |
| 8132 | 12.0% | |
| i | 5738 | 8.5% |
| r | 5282 | 7.8% |
| A | 3306 | 4.9% |
| e | 3249 | 4.8% |
| n | 2831 | 4.2% |
| c | 2774 | 4.1% |
| t | 2774 | 4.1% |
| s | 2375 | 3.5% |
| Other values (18) | 21337 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 46246 | |
| Uppercase Letter | 10013 | 14.8% |
| Space Separator | 8132 | 12.0% |
| Other Punctuation | 2261 | 3.4% |
| Dash Punctuation | 836 | 1.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 9690 | |
| i | 5738 | |
| r | 5282 | |
| e | 3249 | 7.0% |
| n | 2831 | 6.1% |
| c | 2774 | 6.0% |
| t | 2774 | 6.0% |
| s | 2375 | 5.1% |
| b | 1938 | 4.2% |
| u | 1881 | 4.1% |
| Other values (7) | 7714 |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 3306 | |
| S | 1824 | |
| E | 1710 | |
| C | 1444 | |
| L | 551 | 5.5% |
| P | 513 | 5.1% |
| N | 361 | 3.6% |
| M | 304 | 3.0% |
Space Separator
| Value | Count | Frequency (%) |
| 8132 |
Other Punctuation
| Value | Count | Frequency (%) |
| & | 2261 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 836 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 56259 | |
| Common | 11229 | 16.6% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 9690 | |
| i | 5738 | 10.2% |
| r | 5282 | 9.4% |
| A | 3306 | 5.9% |
| e | 3249 | 5.8% |
| n | 2831 | 5.0% |
| c | 2774 | 4.9% |
| t | 2774 | 4.9% |
| s | 2375 | 4.2% |
| b | 1938 | 3.4% |
| Other values (15) | 16302 |
Common
| Value | Count | Frequency (%) |
| 8132 | ||
| & | 2261 | 20.1% |
| - | 836 | 7.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 67488 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 9690 | |
| 8132 | 12.0% | |
| i | 5738 | 8.5% |
| r | 5282 | 7.8% |
| A | 3306 | 4.9% |
| e | 3249 | 4.8% |
| n | 2831 | 4.2% |
| c | 2774 | 4.1% |
| t | 2774 | 4.1% |
| s | 2375 | 3.5% |
| Other values (18) | 21337 |
IncomeGroup
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 26.0 KiB |
| High income | |
|---|---|
| Upper middle income | |
| Lower middle income | |
| Low income |
Length
| Max length | 19 |
|---|---|
| Median length | 19 |
| Mean length | 15.189655 |
| Min length | 10 |
Characters and Unicode
| Total characters | 50217 |
|---|---|
| Distinct characters | 17 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Low income |
|---|---|
| 2nd row | Lower middle income |
| 3rd row | Upper middle income |
| 4th row | High income |
| 5th row | High income |
Common Values
| Value | Count | Frequency (%) |
| High income | 1083 | |
| Upper middle income | 931 | |
| Lower middle income | 855 | |
| Low income | 437 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| income | 3306 | |
| middle | 1786 | |
| high | 1083 | 12.9% |
| upper | 931 | 11.1% |
| lower | 855 | 10.2% |
| low | 437 | 5.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 6878 | |
| i | 6175 | |
| m | 5092 | |
| 5092 | ||
| o | 4598 | |
| d | 3572 | |
| n | 3306 | 6.6% |
| c | 3306 | 6.6% |
| p | 1862 | 3.7% |
| r | 1786 | 3.6% |
| Other values (7) | 8550 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 41819 | |
| Space Separator | 5092 | 10.1% |
| Uppercase Letter | 3306 | 6.6% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 6878 | |
| i | 6175 | |
| m | 5092 | |
| o | 4598 | |
| d | 3572 | |
| n | 3306 | |
| c | 3306 | |
| p | 1862 | 4.5% |
| r | 1786 | 4.3% |
| l | 1786 | 4.3% |
| Other values (3) | 3458 |
Uppercase Letter
| Value | Count | Frequency (%) |
| L | 1292 | |
| H | 1083 | |
| U | 931 |
Space Separator
| Value | Count | Frequency (%) |
| 5092 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 45125 | |
| Common | 5092 | 10.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 6878 | |
| i | 6175 | |
| m | 5092 | |
| o | 4598 | |
| d | 3572 | |
| n | 3306 | |
| c | 3306 | |
| p | 1862 | 4.1% |
| r | 1786 | 4.0% |
| l | 1786 | 4.0% |
| Other values (6) | 6764 |
Common
| Value | Count | Frequency (%) |
| 5092 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 50217 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 6878 | |
| i | 6175 | |
| m | 5092 | |
| 5092 | ||
| o | 4598 | |
| d | 3572 | |
| n | 3306 | 6.6% |
| c | 3306 | 6.6% |
| p | 1862 | 3.7% |
| r | 1786 | 3.6% |
| Other values (7) | 8550 |
Year
Real number (ℝ)
| Distinct | 19 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2010 |
| Minimum | 2001 |
|---|---|
| Maximum | 2019 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.0 KiB |
Quantile statistics
| Minimum | 2001 |
|---|---|
| 5-th percentile | 2001 |
| Q1 | 2005 |
| median | 2010 |
| Q3 | 2015 |
| 95-th percentile | 2019 |
| Maximum | 2019 |
| Range | 18 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 5.4780541 |
|---|---|
| Coefficient of variation (CV) | 0.0027254001 |
| Kurtosis | -1.2066765 |
| Mean | 2010 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0 |
| Sum | 6645060 |
| Variance | 30.009077 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=19)
| Value | Count | Frequency (%) |
| 2001 | 174 | 5.3% |
| 2011 | 174 | 5.3% |
| 2018 | 174 | 5.3% |
| 2017 | 174 | 5.3% |
| 2016 | 174 | 5.3% |
| 2015 | 174 | 5.3% |
| 2014 | 174 | 5.3% |
| 2013 | 174 | 5.3% |
| 2012 | 174 | 5.3% |
| 2010 | 174 | 5.3% |
| Other values (9) | 1566 |
| Value | Count | Frequency (%) |
| 2001 | 174 | |
| 2002 | 174 | |
| 2003 | 174 | |
| 2004 | 174 | |
| 2005 | 174 | |
| 2006 | 174 | |
| 2007 | 174 | |
| 2008 | 174 | |
| 2009 | 174 | |
| 2010 | 174 |
| Value | Count | Frequency (%) |
| 2019 | 174 | |
| 2018 | 174 | |
| 2017 | 174 | |
| 2016 | 174 | |
| 2015 | 174 | |
| 2014 | 174 | |
| 2013 | 174 | |
| 2012 | 174 | |
| 2011 | 174 | |
| 2010 | 174 |
Life Expectancy World Bank
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 2966 |
|---|---|
| Distinct (%) | 95.1% |
| Missing | 188 |
| Missing (%) | 5.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 69.748362 |
| Minimum | 40.369 |
|---|---|
| Maximum | 84.356341 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.0 KiB |
Quantile statistics
| Minimum | 40.369 |
|---|---|
| 5-th percentile | 51.441 |
| Q1 | 63.642 |
| median | 72.1685 |
| Q3 | 76.809 |
| 95-th percentile | 81.64922 |
| Maximum | 84.356341 |
| Range | 43.987341 |
| Interquartile range (IQR) | 13.167 |
Descriptive statistics
| Standard deviation | 9.4081541 |
|---|---|
| Coefficient of variation (CV) | 0.1348871 |
| Kurtosis | -0.20295242 |
| Mean | 69.748362 |
| Median Absolute Deviation (MAD) | 5.9985 |
| Skewness | -0.77388676 |
| Sum | 217475.39 |
| Variance | 88.513364 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 80.70243902 | 4 | 0.1% |
| 82.20487805 | 3 | 0.1% |
| 79.43902439 | 3 | 0.1% |
| 80.74634146 | 3 | 0.1% |
| 81.9 | 3 | 0.1% |
| 75.4 | 3 | 0.1% |
| 71.249 | 3 | 0.1% |
| 75.376 | 3 | 0.1% |
| 78.53902439 | 3 | 0.1% |
| 74.904 | 3 | 0.1% |
| Other values (2956) | 3087 | |
| (Missing) | 188 | 5.7% |
| Value | Count | Frequency (%) |
| 40.369 | 1 | |
| 41.376 | 1 | |
| 42.419 | 1 | |
| 42.518 | 1 | |
| 42.595 | 1 | |
| 42.658 | 1 | |
| 42.731 | 1 | |
| 42.733 | 1 | |
| 42.854 | 1 | |
| 43.065 | 1 |
| Value | Count | Frequency (%) |
| 84.35634146 | 1 | |
| 84.21097561 | 1 | |
| 84.0997561 | 1 | |
| 83.98487805 | 1 | |
| 83.90487805 | 1 | |
| 83.83170732 | 1 | |
| 83.79390244 | 1 | |
| 83.75365854 | 1 | |
| 83.60243902 | 1 | |
| 83.59512195 | 1 |
Prevelance of Undernourishment
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 399 |
|---|---|
| Distinct (%) | 15.2% |
| Missing | 684 |
| Missing (%) | 20.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.663654 |
| Minimum | 2.5 |
|---|---|
| Maximum | 70.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.0 KiB |
Quantile statistics
| Minimum | 2.5 |
|---|---|
| 5-th percentile | 2.5 |
| Q1 | 2.5 |
| median | 6.2 |
| Q3 | 14.775 |
| 95-th percentile | 34.7 |
| Maximum | 70.9 |
| Range | 68.4 |
| Interquartile range (IQR) | 12.275 |
Descriptive statistics
| Standard deviation | 11.285897 |
|---|---|
| Coefficient of variation (CV) | 1.0583518 |
| Kurtosis | 5.4575976 |
| Mean | 10.663654 |
| Median Absolute Deviation (MAD) | 3.7 |
| Skewness | 2.1176294 |
| Sum | 27960.1 |
| Variance | 127.37147 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2.5 | 796 | |
| 3.7 | 27 | 0.8% |
| 3.4 | 22 | 0.7% |
| 3.2 | 19 | 0.6% |
| 5 | 19 | 0.6% |
| 3.1 | 19 | 0.6% |
| 4.3 | 19 | 0.6% |
| 8.8 | 18 | 0.5% |
| 4.4 | 18 | 0.5% |
| 7.1 | 17 | 0.5% |
| Other values (389) | 1648 | |
| (Missing) | 684 |
| Value | Count | Frequency (%) |
| 2.5 | 796 | |
| 2.6 | 14 | 0.4% |
| 2.7 | 8 | 0.2% |
| 2.8 | 16 | 0.5% |
| 2.9 | 7 | 0.2% |
| 3 | 13 | 0.4% |
| 3.1 | 19 | 0.6% |
| 3.2 | 19 | 0.6% |
| 3.3 | 15 | 0.5% |
| 3.4 | 22 | 0.7% |
| Value | Count | Frequency (%) |
| 70.9 | 3 | |
| 70.8 | 2 | |
| 70.7 | 1 | < 0.1% |
| 70.6 | 2 | |
| 70.5 | 1 | < 0.1% |
| 70.4 | 1 | < 0.1% |
| 68.7 | 1 | < 0.1% |
| 67.5 | 1 | < 0.1% |
| 65.9 | 1 | < 0.1% |
| 63.2 | 1 | < 0.1% |
CO2
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 2259 |
|---|---|
| Distinct (%) | 71.6% |
| Missing | 152 |
| Missing (%) | 4.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 157492.41 |
| Minimum | 9.9999998 |
|---|---|
| Maximum | 10707220 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.0 KiB |
Quantile statistics
| Minimum | 9.9999998 |
|---|---|
| 5-th percentile | 170 |
| Q1 | 2002.5 |
| median | 10205 |
| Q3 | 58772.499 |
| 95-th percentile | 459432.99 |
| Maximum | 10707220 |
| Range | 10707210 |
| Interquartile range (IQR) | 56769.999 |
Descriptive statistics
| Standard deviation | 772641.53 |
|---|---|
| Coefficient of variation (CV) | 4.9058969 |
| Kurtosis | 99.754265 |
| Mean | 157492.41 |
| Median Absolute Deviation (MAD) | 9904.9999 |
| Skewness | 9.4378155 |
| Sum | 4.9673107 × 108 |
| Variance | 5.9697494 × 1011 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 180.0000072 | 18 | 0.5% |
| 9.999999776 | 18 | 0.5% |
| 170.0000018 | 15 | 0.5% |
| 140.0000006 | 15 | 0.5% |
| 250 | 13 | 0.4% |
| 119.9999973 | 12 | 0.4% |
| 70.0000003 | 12 | 0.4% |
| 59.99999866 | 12 | 0.4% |
| 209.9999934 | 11 | 0.3% |
| 129.9999952 | 11 | 0.3% |
| Other values (2249) | 3017 | |
| (Missing) | 152 | 4.6% |
| Value | Count | Frequency (%) |
| 9.999999776 | 18 | |
| 10 | 1 | < 0.1% |
| 30 | 1 | < 0.1% |
| 39.99999911 | 8 | |
| 50 | 1 | < 0.1% |
| 50.00000075 | 6 | 0.2% |
| 59.99999866 | 12 | |
| 70.0000003 | 12 | |
| 79.99999821 | 5 | 0.2% |
| 80 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 10707219.73 | 1 | |
| 10502929.69 | 1 | |
| 10096009.77 | 1 | |
| 10006669.92 | 1 | |
| 9984570.312 | 1 | |
| 9874660.156 | 1 | |
| 9861099.609 | 1 | |
| 9541870.117 | 1 | |
| 9282549.805 | 1 | |
| 8474919.922 | 1 |
Health Expenditure %
Real number (ℝ)
| Distinct | 3126 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 180 |
| Missing (%) | 5.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.3640591 |
| Minimum | 1.263576 |
|---|---|
| Maximum | 24.23068 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.0 KiB |
Quantile statistics
| Minimum | 1.263576 |
|---|---|
| 5-th percentile | 2.6505123 |
| Q1 | 4.2054429 |
| median | 5.8923523 |
| Q3 | 8.1191659 |
| 95-th percentile | 10.831115 |
| Maximum | 24.23068 |
| Range | 22.967104 |
| Interquartile range (IQR) | 3.913723 |
Descriptive statistics
| Standard deviation | 2.8428437 |
|---|---|
| Coefficient of variation (CV) | 0.44670291 |
| Kurtosis | 2.9480836 |
| Mean | 6.3640591 |
| Median Absolute Deviation (MAD) | 1.9330953 |
| Skewness | 1.1574056 |
| Sum | 19894.049 |
| Variance | 8.0817604 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4.38575172 | 1 | < 0.1% |
| 3.42069316 | 1 | < 0.1% |
| 7.6386919 | 1 | < 0.1% |
| 10.5835619 | 1 | < 0.1% |
| 8.92953396 | 1 | < 0.1% |
| 4.63011789 | 1 | < 0.1% |
| 9.4396801 | 1 | < 0.1% |
| 9.3601923 | 1 | < 0.1% |
| 2.79134297 | 1 | < 0.1% |
| 2.6028018 | 1 | < 0.1% |
| Other values (3116) | 3116 | |
| (Missing) | 180 | 5.4% |
| Value | Count | Frequency (%) |
| 1.26357603 | 1 | |
| 1.49993956 | 1 | |
| 1.51855373 | 1 | |
| 1.5251174 | 1 | |
| 1.55349779 | 1 | |
| 1.57114804 | 1 | |
| 1.59628761 | 1 | |
| 1.59996212 | 1 | |
| 1.62753129 | 1 | |
| 1.63775349 | 1 |
| Value | Count | Frequency (%) |
| 24.23068047 | 1 | |
| 23.96181297 | 1 | |
| 23.0041008 | 1 | |
| 22.0241642 | 1 | |
| 21.95516396 | 1 | |
| 20.413414 | 1 | |
| 19.72741699 | 1 | |
| 19.18874931 | 1 | |
| 19.03600502 | 1 | |
| 18.60474205 | 1 |
Education Expenditure %
Real number (ℝ)
| Distinct | 2192 |
|---|---|
| Distinct (%) | 98.9% |
| Missing | 1090 |
| Missing (%) | 33.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.5890142 |
| Minimum | 0.85031998 |
|---|---|
| Maximum | 23.27 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.0 KiB |
Quantile statistics
| Minimum | 0.85031998 |
|---|---|
| 5-th percentile | 1.9658526 |
| Q1 | 3.1361175 |
| median | 4.371465 |
| Q3 | 5.5198251 |
| 95-th percentile | 7.9137701 |
| Maximum | 23.27 |
| Range | 22.41968 |
| Interquartile range (IQR) | 2.3837076 |
Descriptive statistics
| Standard deviation | 2.1191647 |
|---|---|
| Coefficient of variation (CV) | 0.46179083 |
| Kurtosis | 9.3075312 |
| Mean | 4.5890142 |
| Median Absolute Deviation (MAD) | 1.1923649 |
| Skewness | 2.024186 |
| Sum | 10169.256 |
| Variance | 4.4908591 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2.299999952 | 3 | 0.1% |
| 2.099999905 | 3 | 0.1% |
| 3.75 | 3 | 0.1% |
| 3.5 | 3 | 0.1% |
| 3.109630108 | 2 | 0.1% |
| 3.517210007 | 2 | 0.1% |
| 3.569999933 | 2 | 0.1% |
| 4.508979797 | 2 | 0.1% |
| 2.25999999 | 2 | 0.1% |
| 3.799999952 | 2 | 0.1% |
| Other values (2182) | 2192 | |
| (Missing) | 1090 |
| Value | Count | Frequency (%) |
| 0.8503199816 | 1 | |
| 0.8999999762 | 1 | |
| 0.962890029 | 1 | |
| 1.021950006 | 1 | |
| 1.024500012 | 1 | |
| 1.099720001 | 1 | |
| 1.107920051 | 1 | |
| 1.117609978 | 1 | |
| 1.152660012 | 1 | |
| 1.164250016 | 1 |
| Value | Count | Frequency (%) |
| 23.27000046 | 1 | |
| 20.59000015 | 1 | |
| 19.70999908 | 1 | |
| 17.62999916 | 1 | |
| 17.55999947 | 1 | |
| 15.98999977 | 1 | |
| 15.75 | 1 | |
| 15.67000008 | 1 | |
| 15.59000015 | 1 | |
| 15.27999973 | 1 |
Unemployment
Real number (ℝ)
| Distinct | 2151 |
|---|---|
| Distinct (%) | 71.7% |
| Missing | 304 |
| Missing (%) | 9.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.8907605 |
| Minimum | 0.1 |
|---|---|
| Maximum | 37.25 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.0 KiB |
Quantile statistics
| Minimum | 0.1 |
|---|---|
| 5-th percentile | 1.1313 |
| Q1 | 3.733 |
| median | 5.9200001 |
| Q3 | 10.0975 |
| 95-th percentile | 20.907949 |
| Maximum | 37.25 |
| Range | 37.15 |
| Interquartile range (IQR) | 6.3645003 |
Descriptive statistics
| Standard deviation | 6.2708319 |
|---|---|
| Coefficient of variation (CV) | 0.79470564 |
| Kurtosis | 2.7825099 |
| Mean | 7.8907605 |
| Median Absolute Deviation (MAD) | 2.79 |
| Skewness | 1.6275363 |
| Sum | 23688.063 |
| Variance | 39.323332 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4 | 12 | 0.4% |
| 3.099999905 | 8 | 0.2% |
| 5 | 7 | 0.2% |
| 5.650000095 | 7 | 0.2% |
| 4.800000191 | 6 | 0.2% |
| 5.380000114 | 6 | 0.2% |
| 7.21999979 | 6 | 0.2% |
| 6.809999943 | 6 | 0.2% |
| 5.300000191 | 6 | 0.2% |
| 4.900000095 | 6 | 0.2% |
| Other values (2141) | 2932 | |
| (Missing) | 304 | 9.2% |
| Value | Count | Frequency (%) |
| 0.1000000015 | 1 | |
| 0.1099999994 | 1 | |
| 0.1400000006 | 2 | |
| 0.1430000067 | 1 | |
| 0.1469999999 | 1 | |
| 0.150000006 | 1 | |
| 0.1700000018 | 1 | |
| 0.200000003 | 1 | |
| 0.25 | 1 | |
| 0.2800000012 | 1 |
| Value | Count | Frequency (%) |
| 37.25 | 1 | |
| 37.15999985 | 1 | |
| 36.68999863 | 1 | |
| 36.02999878 | 1 | |
| 34.93000031 | 1 | |
| 34.63499832 | 1 | |
| 33.86000061 | 1 | |
| 33.75999832 | 1 | |
| 33.29000092 | 1 | |
| 32.95500183 | 1 |
Corruption
Real number (ℝ)
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 2331 |
| Missing (%) | 70.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.8605128 |
| Minimum | 1 |
|---|---|
| Maximum | 4.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.0 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 2.5 |
| median | 3 |
| Q3 | 3.25 |
| 95-th percentile | 4 |
| Maximum | 4.5 |
| Range | 3.5 |
| Interquartile range (IQR) | 0.75 |
Descriptive statistics
| Standard deviation | 0.6213433 |
|---|---|
| Coefficient of variation (CV) | 0.21721395 |
| Kurtosis | 0.0076012034 |
| Mean | 2.8605128 |
| Median Absolute Deviation (MAD) | 0.5 |
| Skewness | -0.070765155 |
| Sum | 2789 |
| Variance | 0.3860675 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 3 | 330 | 10.0% |
| 2.5 | 251 | 7.6% |
| 3.5 | 176 | 5.3% |
| 2 | 109 | 3.3% |
| 4 | 57 | 1.7% |
| 1.5 | 38 | 1.1% |
| 4.5 | 11 | 0.3% |
| 1 | 3 | 0.1% |
| (Missing) | 2331 |
| Value | Count | Frequency (%) |
| 1 | 3 | 0.1% |
| 1.5 | 38 | 1.1% |
| 2 | 109 | 3.3% |
| 2.5 | 251 | |
| 3 | 330 | |
| 3.5 | 176 | |
| 4 | 57 | 1.7% |
| 4.5 | 11 | 0.3% |
| Value | Count | Frequency (%) |
| 4.5 | 11 | 0.3% |
| 4 | 57 | 1.7% |
| 3.5 | 176 | |
| 3 | 330 | |
| 2.5 | 251 | |
| 2 | 109 | 3.3% |
| 1.5 | 38 | 1.1% |
| 1 | 3 | 0.1% |
Sanitation
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 1941 |
|---|---|
| Distinct (%) | 94.3% |
| Missing | 1247 |
| Missing (%) | 37.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 52.738785 |
| Minimum | 2.3776471 |
|---|---|
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.0 KiB |
Quantile statistics
| Minimum | 2.3776471 |
|---|---|
| 5-th percentile | 8.6790876 |
| Q1 | 24.746007 |
| median | 49.317481 |
| Q3 | 80.278847 |
| 95-th percentile | 99.194428 |
| Maximum | 100 |
| Range | 97.622357 |
| Interquartile range (IQR) | 55.532841 |
Descriptive statistics
| Standard deviation | 30.126762 |
|---|---|
| Coefficient of variation (CV) | 0.5712449 |
| Kurtosis | -1.3550764 |
| Mean | 52.738785 |
| Median Absolute Deviation (MAD) | 27.716031 |
| Skewness | 0.071628871 |
| Sum | 108589.16 |
| Variance | 907.62177 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 100 | 57 | 1.7% |
| 91.86797469 | 19 | 0.6% |
| 70.3715 | 19 | 0.6% |
| 71.1 | 8 | 0.2% |
| 32.50916088 | 6 | 0.2% |
| 74.56568765 | 5 | 0.2% |
| 58.78889399 | 4 | 0.1% |
| 97.2 | 3 | 0.1% |
| 37.28527113 | 2 | 0.1% |
| 9.425466024 | 2 | 0.1% |
| Other values (1931) | 1934 | |
| (Missing) | 1247 |
| Value | Count | Frequency (%) |
| 2.377647105 | 1 | |
| 2.627151311 | 1 | |
| 2.876350728 | 1 | |
| 3.118540241 | 1 | |
| 3.355939326 | 1 | |
| 3.588700651 | 1 | |
| 3.631962583 | 1 | |
| 3.818593969 | 1 | |
| 3.831344237 | 1 | |
| 4.004654451 | 1 |
| Value | Count | Frequency (%) |
| 100.0000037 | 1 | < 0.1% |
| 100.0000035 | 1 | < 0.1% |
| 100.0000012 | 2 | 0.1% |
| 100 | 57 | |
| 99.99999876 | 1 | < 0.1% |
| 99.99999755 | 1 | < 0.1% |
| 99.99999528 | 1 | < 0.1% |
| 99.99999506 | 1 | < 0.1% |
| 99.67939917 | 1 | < 0.1% |
| 99.6771794 | 1 | < 0.1% |
Injuries
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 3306 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1318219.5 |
| Minimum | 430.49 |
|---|---|
| Maximum | 55636759 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.0 KiB |
Quantile statistics
| Minimum | 430.49 |
|---|---|
| 5-th percentile | 2109.4725 |
| Q1 | 62456.878 |
| median | 245690.96 |
| Q3 | 846559.12 |
| 95-th percentile | 3992127.1 |
| Maximum | 55636759 |
| Range | 55636329 |
| Interquartile range (IQR) | 784102.24 |
Descriptive statistics
| Standard deviation | 5214067.9 |
|---|---|
| Coefficient of variation (CV) | 3.9553869 |
| Kurtosis | 74.63591 |
| Mean | 1318219.5 |
| Median Absolute Deviation (MAD) | 234577.76 |
| Skewness | 8.3899316 |
| Sum | 4.3580335 × 109 |
| Variance | 2.7186504 × 1013 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2179727.1 | 1 | < 0.1% |
| 859305.23 | 1 | < 0.1% |
| 111887.61 | 1 | < 0.1% |
| 30900.62 | 1 | < 0.1% |
| 405779.44 | 1 | < 0.1% |
| 726646.06 | 1 | < 0.1% |
| 99407.34 | 1 | < 0.1% |
| 670757.77 | 1 | < 0.1% |
| 5253874.49 | 1 | < 0.1% |
| 169392.04 | 1 | < 0.1% |
| Other values (3296) | 3296 |
| Value | Count | Frequency (%) |
| 430.49 | 1 | |
| 432.67 | 1 | |
| 434.47 | 1 | |
| 437.01 | 1 | |
| 439.9 | 1 | |
| 442.4 | 1 | |
| 443.84 | 1 | |
| 445.84 | 1 | |
| 448.91 | 1 | |
| 452.02 | 1 |
| Value | Count | Frequency (%) |
| 55636759.3 | 1 | |
| 55112092.7 | 1 | |
| 55078934.61 | 1 | |
| 54648485.34 | 1 | |
| 54420117.23 | 1 | |
| 54362219.04 | 1 | |
| 53914552.02 | 1 | |
| 53868774.94 | 1 | |
| 53697866.83 | 1 | |
| 53563909.73 | 1 |
Communicable
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 3306 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4686288.6 |
| Minimum | 330.16 |
|---|---|
| Maximum | 2.6856461 × 108 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.0 KiB |
Quantile statistics
| Minimum | 330.16 |
|---|---|
| 5-th percentile | 1815.9275 |
| Q1 | 57764.745 |
| median | 314769.35 |
| Q3 | 2831635.9 |
| 95-th percentile | 15779722 |
| Maximum | 2.6856461 × 108 |
| Range | 2.6856428 × 108 |
| Interquartile range (IQR) | 2773871.2 |
Descriptive statistics
| Standard deviation | 18437269 |
|---|---|
| Coefficient of variation (CV) | 3.9343008 |
| Kurtosis | 104.88697 |
| Mean | 4686288.6 |
| Median Absolute Deviation (MAD) | 311551.68 |
| Skewness | 9.4121389 |
| Sum | 1.549287 × 1010 |
| Variance | 3.3993289 × 1014 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 9689193.7 | 1 | < 0.1% |
| 3538986.78 | 1 | < 0.1% |
| 723629.75 | 1 | < 0.1% |
| 39509.26 | 1 | < 0.1% |
| 5709964.03 | 1 | < 0.1% |
| 1166296.26 | 1 | < 0.1% |
| 555838.2 | 1 | < 0.1% |
| 11370157.59 | 1 | < 0.1% |
| 91427866.22 | 1 | < 0.1% |
| 248085.86 | 1 | < 0.1% |
| Other values (3296) | 3296 |
| Value | Count | Frequency (%) |
| 330.16 | 1 | |
| 330.39 | 1 | |
| 332.94 | 1 | |
| 333.25 | 1 | |
| 335.86 | 1 | |
| 337.54 | 1 | |
| 338.68 | 1 | |
| 340.39 | 1 | |
| 341.41 | 1 | |
| 343.03 | 1 |
| Value | Count | Frequency (%) |
| 268564609.8 | 1 | |
| 261766675.1 | 1 | |
| 254933810 | 1 | |
| 249700603.7 | 1 | |
| 245719584.3 | 1 | |
| 239547398.8 | 1 | |
| 233021416.5 | 1 | |
| 226718272.2 | 1 | |
| 217642490.3 | 1 | |
| 210484107.4 | 1 |
NonCommunicable
Real number (ℝ)
HIGH CORRELATION UNIQUE
| Distinct | 3306 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7392488.1 |
| Minimum | 2481.82 |
|---|---|
| Maximum | 3.2463781 × 108 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 26.0 KiB |
Quantile statistics
| Minimum | 2481.82 |
|---|---|
| 5-th percentile | 14592.71 |
| Q1 | 318475.84 |
| median | 1350146.3 |
| Q3 | 3918468.3 |
| 95-th percentile | 23797648 |
| Maximum | 3.2463781 × 108 |
| Range | 3.2463533 × 108 |
| Interquartile range (IQR) | 3599992.4 |
Descriptive statistics
| Standard deviation | 29326878 |
|---|---|
| Coefficient of variation (CV) | 3.9671188 |
| Kurtosis | 71.657394 |
| Mean | 7392488.1 |
| Median Absolute Deviation (MAD) | 1263036.4 |
| Skewness | 8.1757934 |
| Sum | 2.4439566 × 1010 |
| Variance | 8.600658 × 1014 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 5795426.38 | 1 | < 0.1% |
| 5031592.92 | 1 | < 0.1% |
| 478194.75 | 1 | < 0.1% |
| 318292.56 | 1 | < 0.1% |
| 2242633.92 | 1 | < 0.1% |
| 4728365.81 | 1 | < 0.1% |
| 338641.31 | 1 | < 0.1% |
| 2667354.98 | 1 | < 0.1% |
| 28118617.51 | 1 | < 0.1% |
| 948464.91 | 1 | < 0.1% |
| Other values (3296) | 3296 |
| Value | Count | Frequency (%) |
| 2481.82 | 1 | |
| 2485.93 | 1 | |
| 2487.82 | 1 | |
| 2498.8 | 1 | |
| 2502.98 | 1 | |
| 2526.98 | 1 | |
| 2575.11 | 1 | |
| 2618 | 1 | |
| 2653.62 | 1 | |
| 2704.27 | 1 |
| Value | Count | Frequency (%) |
| 324637810.5 | 1 | |
| 319066226.4 | 1 | |
| 314747193.3 | 1 | |
| 310204381.1 | 1 | |
| 304811336.4 | 1 | |
| 301933553.1 | 1 | |
| 299286678.6 | 1 | |
| 297330095.4 | 1 | |
| 295761448.8 | 1 | |
| 293019139 | 1 |
| Year | Life Expectancy World Bank | Prevelance of Undernourishment | CO2 | Health Expenditure % | Education Expenditure % | Unemployment | Corruption | Sanitation | Injuries | Communicable | NonCommunicable | Region | IncomeGroup | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Year | 1.000 | 0.185 | -0.133 | 0.061 | 0.095 | 0.031 | -0.050 | -0.015 | 0.119 | 0.004 | -0.037 | 0.045 | 0.000 | 0.000 |
| Life Expectancy World Bank | 0.185 | 1.000 | -0.780 | 0.532 | 0.432 | 0.307 | 0.075 | 0.272 | 0.715 | -0.157 | -0.581 | 0.002 | 0.400 | 0.578 |
| Prevelance of Undernourishment | -0.133 | -0.780 | 1.000 | -0.502 | -0.451 | -0.379 | -0.185 | -0.319 | -0.744 | 0.132 | 0.534 | -0.054 | 0.278 | 0.462 |
| CO2 | 0.061 | 0.532 | -0.502 | 1.000 | 0.033 | 0.070 | -0.001 | -0.174 | 0.465 | 0.632 | 0.258 | 0.729 | 0.295 | 0.097 |
| Health Expenditure % | 0.095 | 0.432 | -0.451 | 0.033 | 1.000 | 0.415 | 0.279 | 0.006 | 0.267 | -0.110 | -0.267 | -0.032 | 0.279 | 0.230 |
| Education Expenditure % | 0.031 | 0.307 | -0.379 | 0.070 | 0.415 | 1.000 | 0.168 | 0.398 | 0.264 | -0.201 | -0.331 | -0.154 | 0.140 | 0.206 |
| Unemployment | -0.050 | 0.075 | -0.185 | -0.001 | 0.279 | 0.168 | 1.000 | -0.078 | -0.008 | -0.170 | -0.215 | -0.138 | 0.196 | 0.230 |
| Corruption | -0.015 | 0.272 | -0.319 | -0.174 | 0.006 | 0.398 | -0.078 | 1.000 | 0.309 | -0.333 | -0.305 | -0.296 | 0.250 | 0.299 |
| Sanitation | 0.119 | 0.715 | -0.744 | 0.465 | 0.267 | 0.264 | -0.008 | 0.309 | 1.000 | -0.150 | -0.454 | -0.027 | 0.377 | 0.596 |
| Injuries | 0.004 | -0.157 | 0.132 | 0.632 | -0.110 | -0.201 | -0.170 | -0.333 | -0.150 | 1.000 | 0.865 | 0.969 | 0.206 | 0.103 |
| Communicable | -0.037 | -0.581 | 0.534 | 0.258 | -0.267 | -0.331 | -0.215 | -0.305 | -0.454 | 0.865 | 1.000 | 0.788 | 0.188 | 0.122 |
| NonCommunicable | 0.045 | 0.002 | -0.054 | 0.729 | -0.032 | -0.154 | -0.138 | -0.296 | -0.027 | 0.969 | 0.788 | 1.000 | 0.283 | 0.125 |
| Region | 0.000 | 0.400 | 0.278 | 0.295 | 0.279 | 0.140 | 0.196 | 0.250 | 0.377 | 0.206 | 0.188 | 0.283 | 1.000 | 0.504 |
| IncomeGroup | 0.000 | 0.578 | 0.462 | 0.097 | 0.230 | 0.206 | 0.230 | 0.299 | 0.596 | 0.103 | 0.122 | 0.125 | 0.504 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| Country Name | Country Code | Region | IncomeGroup | Year | Life Expectancy World Bank | Prevelance of Undernourishment | CO2 | Health Expenditure % | Education Expenditure % | Unemployment | Corruption | Sanitation | Injuries | Communicable | NonCommunicable | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | AFG | South Asia | Low income | 2001 | 56.308000 | 47.8 | 730.0 | NaN | NaN | 10.809000 | NaN | NaN | 2179727.10 | 9689193.70 | 5795426.38 |
| 1 | Angola | AGO | Sub-Saharan Africa | Lower middle income | 2001 | 47.059000 | 67.5 | 15960.0 | 4.483516 | NaN | 4.004000 | NaN | NaN | 1392080.71 | 11190210.53 | 2663516.34 |
| 2 | Albania | ALB | Europe & Central Asia | Upper middle income | 2001 | 74.288000 | 4.9 | 3230.0 | 7.139524 | 3.45870 | 18.575001 | NaN | 40.520895 | 117081.67 | 140894.78 | 532324.75 |
| 3 | Andorra | AND | Europe & Central Asia | High income | 2001 | NaN | NaN | 520.0 | 5.865939 | NaN | NaN | NaN | 21.788660 | 1697.99 | 695.56 | 13636.64 |
| 4 | United Arab Emirates | ARE | Middle East & North Africa | High income | 2001 | 74.544000 | 2.8 | 97200.0 | 2.484370 | NaN | 2.493000 | NaN | NaN | 144678.14 | 65271.91 | 481740.70 |
| 5 | Argentina | ARG | Latin America & Caribbean | Upper middle income | 2001 | 73.755000 | 3.0 | 125260.0 | 8.371798 | 4.83374 | 17.320000 | NaN | 48.053996 | 1397676.07 | 1507068.98 | 8070909.52 |
| 6 | Armenia | ARM | Europe & Central Asia | Upper middle income | 2001 | 71.800000 | 26.1 | 3600.0 | 4.645627 | 2.46944 | 10.912000 | NaN | 46.351896 | 103371.75 | 122238.13 | 767916.19 |
| 7 | American Samoa | ASM | East Asia & Pacific | Upper middle income | 2001 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1683.98 | 2933.98 | 10752.13 |
| 8 | Antigua and Barbuda | ATG | Latin America & Caribbean | High income | 2001 | 74.171000 | NaN | 350.0 | 5.435876 | NaN | NaN | NaN | NaN | 2201.12 | 3279.72 | 14289.69 |
| 9 | Australia | AUS | East Asia & Pacific | High income | 2001 | 79.634146 | 2.5 | 345640.0 | 7.696229 | NaN | 6.740000 | NaN | 58.788894 | 612233.81 | 208282.73 | 4158052.86 |
| Country Name | Country Code | Region | IncomeGroup | Year | Life Expectancy World Bank | Prevelance of Undernourishment | CO2 | Health Expenditure % | Education Expenditure % | Unemployment | Corruption | Sanitation | Injuries | Communicable | NonCommunicable | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3296 | Ukraine | UKR | Europe & Central Asia | Lower middle income | 2019 | 71.827317 | 2.6 | 1.747300e+05 | 7.098602 | 5.44130 | 8.190000 | NaN | 71.977338 | 2677198.11 | 1279508.70 | 17610060.43 |
| 3297 | Uruguay | URY | Latin America & Caribbean | High income | 2019 | 77.911000 | 2.5 | 6.490000e+03 | 9.347832 | 4.70326 | 8.880000 | NaN | NaN | 130120.49 | 74036.98 | 857057.52 |
| 3298 | United States | USA | North America | High income | 2019 | 78.787805 | 2.5 | 4.817720e+06 | 16.767063 | NaN | 3.670000 | NaN | 98.275223 | 10129022.26 | 4968922.31 | 95976524.31 |
| 3299 | Uzbekistan | UZB | Europe & Central Asia | Lower middle income | 2019 | 71.725000 | 2.5 | 1.167100e+05 | 5.617604 | 7.00186 | 5.850000 | 2.5 | NaN | 1087494.20 | 1913988.83 | 7059738.93 |
| 3300 | Vietnam | VNM | East Asia & Pacific | Lower middle income | 2019 | 75.400000 | 6.2 | 3.364900e+05 | 5.249656 | 4.06197 | 2.040000 | NaN | NaN | 3100141.17 | 3281846.28 | 19429515.98 |
| 3301 | Vanuatu | VUT | East Asia & Pacific | Lower middle income | 2019 | 70.474000 | 12.4 | 2.100000e+02 | 3.360347 | 1.77788 | 1.801000 | 3.0 | NaN | 12484.18 | 26032.56 | 69213.56 |
| 3302 | Samoa | WSM | East Asia & Pacific | Lower middle income | 2019 | 73.321000 | 4.4 | 3.000000e+02 | 6.363094 | 4.70625 | 8.406000 | 4.0 | 47.698788 | 6652.84 | 9095.19 | 43798.62 |
| 3303 | South Africa | ZAF | Sub-Saharan Africa | Upper middle income | 2019 | 64.131000 | 6.3 | 4.396400e+05 | 9.109355 | 5.91771 | 28.469999 | NaN | NaN | 3174676.10 | 13198944.71 | 10214261.89 |
| 3304 | Zambia | ZMB | Sub-Saharan Africa | Low income | 2019 | 63.886000 | NaN | 6.800000e+03 | 5.312203 | 4.46518 | 12.520000 | 2.5 | NaN | 510982.75 | 4837094.00 | 2649687.82 |
| 3305 | Zimbabwe | ZWE | Sub-Saharan Africa | Lower middle income | 2019 | 61.490000 | NaN | 1.176000e+04 | 7.703565 | NaN | 4.833000 | 2.5 | 25.963544 | 644798.93 | 4187087.31 | 2364031.48 |